计算机工程与应用2017，Vol.53Issue(6)：252-257,6.DOI:10.3778/j.issn.1002-8331.1606-0452
基于手机加速度计的地震场景分层识别方法
Hierarchical seismic scene recognition method based on mobile accelerometer
摘要
Abstract
The use of mobile accelerometer in seismic scene recognition is a new hot spot in the field of earthquake early warning research. As to existing methods using smartphones for seismic scene recognition, their simulating seismic scene is far away from the real situation, and the recognition method is relatively rough. Using earthquake experiencing house to simulate seismic scene, a two-layer earthquake recognition method is proposed to distinguish seismic scene from human daily life scenes. Firstly, it selects an appropriate threshold for the proposed feature:Sum of Maximum Correlation (SMC), excluding jogging, walking and other human activity scenes by data periodicity. Then in the second layer, it iden-tifies seismic scene data from aperiodic data using K nearest neighbor algorithm. Experimental results show that the hier-archical recognition method is quick and recognition rate of both non-seismic and seismic scene are over 96%.关键词
加速度计/地震预警/分层识别/单门限/K最邻近算法Key words
accelerometer/earthquake early warning/hierarchical recognition/single threshold/K-Nearest Neighbor(KNN)分类
信息技术与安全科学引用本文复制引用
李小光,卜方玲,徐新..基于手机加速度计的地震场景分层识别方法[J].计算机工程与应用,2017,53(6):252-257,6.基金项目
国家高技术研究发展计划(863)(No.2013AA122301). （863）
